Literature DB >> 16158423

What is the function of hippocampal theta rhythm?--Linking behavioral data to phasic properties of field potential and unit recording data.

Michael E Hasselmo1.   

Abstract

The extensive physiological data on hippocampal theta rhythm provide an opportunity to evaluate hypotheses about the role of theta rhythm for hippocampal network function. Computational models based on these hypotheses help to link behavioral data with physiological measurements of different variables during theta rhythm. This paper reviews work on network models in which theta rhythm contributes to the following functions: (1) separating the dynamics of encoding and retrieval, (2) enhancing the context-dependent retrieval of sequences, (3) buffering of novel information in entorhinal cortex (EC) for episodic encoding, and (4) timing interactions between prefrontal cortex and hippocampus for memory-guided action selection. Modeling shows how these functional mechanisms are related to physiological data from the hippocampal formation, including (1) the phase relationships of synaptic currents during theta rhythm measured by current source density analysis of electroencephalographic data from region CA1 and dentate gyrus, (2) the timing of action potentials, including the theta phase precession of single place cells during running on a linear track, the context-dependent changes in theta phase precession across trials on each day, and the context-dependent firing properties of hippocampal neurons in spatial alternation (e.g., "splitter cells"), (3) the cholinergic regulation of sustained activity in entorhinal cortical neurons, and (4) the phasic timing of prefrontal cortical neurons relative to hippocampal theta rhythm. Copyright 2005 Wiley-Liss, Inc.

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Mesh:

Year:  2005        PMID: 16158423     DOI: 10.1002/hipo.20116

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  165 in total

1.  Cholinergic control in developing prefrontal-hippocampal networks.

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Review 2.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

3.  Damage of GABAergic neurons in the medial septum impairs spatial working memory and extinction of active avoidance: effects on proactive interference.

Authors:  Kevin C H Pang; Xilu Jiao; Swamini Sinha; Kevin D Beck; Richard J Servatius
Journal:  Hippocampus       Date:  2010-05-17       Impact factor: 3.899

4.  Alzheimer's disease and epilepsy: insight from animal models.

Authors:  Helen E Scharfman
Journal:  Future Neurol       Date:  2012-03-01

5.  Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system.

Authors:  Dharshan Kumaran; James L McClelland
Journal:  Psychol Rev       Date:  2012-07       Impact factor: 8.934

6.  mPFC spindle cycles organize sparse thalamic activation and recently active CA1 cells during non-REM sleep.

Authors:  Carmen Varela; Matthew A Wilson
Journal:  Elife       Date:  2020-06-11       Impact factor: 8.140

7.  Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice.

Authors:  Zhenglin Gu; Kathleen G Smith; Georgia M Alexander; Inês Guerreiro; Serena M Dudek; Boris Gutkin; Patricia Jensen; Jerrel L Yakel
Journal:  Cell Rep       Date:  2020-06-09       Impact factor: 9.423

8.  Learning-related coordination of striatal and hippocampal theta rhythms during acquisition of a procedural maze task.

Authors:  William E DeCoteau; Catherine Thorn; Daniel J Gibson; Richard Courtemanche; Partha Mitra; Yasuo Kubota; Ann M Graybiel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-19       Impact factor: 11.205

9.  Individual differences in EEG theta and alpha dynamics during working memory correlate with fMRI responses across subjects.

Authors:  Jed A Meltzer; Michiro Negishi; Linda C Mayes; R Todd Constable
Journal:  Clin Neurophysiol       Date:  2007-09-27       Impact factor: 3.708

Review 10.  Cellular dynamical mechanisms for encoding the time and place of events along spatiotemporal trajectories in episodic memory.

Authors:  Michael E Hasselmo; Lisa M Giocomo; Mark P Brandon; Motoharu Yoshida
Journal:  Behav Brain Res       Date:  2009-12-16       Impact factor: 3.332

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